2024 AIChE Annual Meeting

Session: 10B: Predictive Control and Optimization

This session includes contributions on new formulations for predictive control and real-time optimization, as well as novel solution algorithms and their applications for the associated formulations.

Chair

Co-Chair

Presentations

08:00 AM

(457a) Integrating Regulatory Rule-Based Control Logic in Supervisory Economic Model Predictive Control
Hossein Kalantar Neyestanaki, Loren dela Rosa, Matthew Ellis

08:16 AM

(457b) Retro: A Real-Time Risk-Based Optimization Framework for Safe and Smart Operations
Yuhe Tian, Efstratios Pistikopoulos, Faisal Khan, Shayan Niknezhad, Yuanxing Liu, Sahithi Srijana Akundi, Beatriz Dantas, Austin Braniff

08:32 AM

(457c) Continuous Learning of the Value Function Utilizing Deep Reinforcement Learning to be Used As the Objective in Model Predictive Control
Daniel Beahr, Elijah Hedrick, Debangsu Bhattacharyya

08:48 AM

(457d) Integrated Scheduling and Control Formulation for Processes Controlled By Nonlinear MPC Systems
Daniela Dering De Lima Silva, Christopher Swartz

09:04 AM

(457e) MPC Is a Decision Tree, and We Know How to Optimize It
Jiayang Ren, Yankai Cao

09:20 AM

(457f) Execution-Time-Certified and Fast MPC Solver
Liang Wu, Richard Braatz

09:36 AM

(457g) Graph-Based Symmetry Detection and Elimination for Optimal Process Control of Numbered-up Modular Facilities
Yi Dai, Elliot Cooper, Andrew Allman

09:52 AM

(457h) Multistage Economic Nonlinear Model Predictive Control of Gas Pipeline Networks Under Uncertainty
Sakshi Naik, Lorenz Biegler

10:08 AM

(457i) Nonlinear Model Predictive Control with Performance-Index-Triggered Model Re-Identification
Daniel Kestering, Fernando Lima